Abstract: A method of image processing includes determining a supplement pixel and original pixels adjacent to the supplement pixel, deriving luminance data of the original pixels from input image data, calculating a difference value among the luminance data of the original pixels, selecting an original pixel of the original pixels as an effective pixel when the difference value of luminance data of the original pixel and a nearest original pixel to the supplement pixel is smaller than a predetermined threshold value, setting a weighted value of the effective pixel based on a distance between the supplement pixel and the effective pixel, and calculating luminance data of the supplement pixel based on luminance data of the effective pixel and the weighted value.

Abstract: In various embodiments a camera with multiple optical chains, e.g., camera modules, is controlled to operate in one of a variety of supported modes of operation. The modes include a non-motion mode, a motion mode, a normal burst mode and/or a reduced data burst mode. Motion mode is well suited for capturing an image including motion, e.g., moving object(s) with some modules being used to capture scene areas using a shorter exposure time than other modules and the captured images then being combined taking into consideration locations of motion. A reduced data burst mode is supported in some embodiments in which camera modules with different focal lengths capture images at different rates. While the camera modules of different focal length operate at different image capture rates in the reduced data burst mode, images are combined to support a desired composite image output rate, e.g., a desired frame rate.

Abstract: Embodiments of the present disclosure relate to a sensor interface circuit that performs scaling of image data in a Bayer pattern without spreading defective pixels across multiple pixels. The sensor interface circuit may include a register circuit storing operating parameters of the sensor interface circuit. The sensor interface circuit includes a scaling circuit with a first defect pixel detection circuit to detect a first defective pixel in an input image by analyzing pixels in a line of an input image data along a first direction. A first scaling circuit is coupled to the first defect pixel detection circuit and generates a scaled line of pixels representing the line of the input image scaled along the first direction according to the operating parameters.

Abstract: In general, techniques are described for performing motion vector prediction for video coding. A video coding device comprising a processor may perform the techniques. The processor may be configured to determine a plurality of candidate motion vectors for a current block of the video data so as to perform the motion vector prediction process and scale one or more of the plurality of candidate motion vectors determined for the current block of the video data to generate one or more scaled candidate motion vectors. The processor may then be configured to modify the scaled candidate motion vectors to be within a specified range.

Abstract: A method for image edge anti-aliasing with super-resolution is provided and used to achieve enlargement conversion from low resolution to high resolution, by applying the steps of: detecting a received image data and saving as an original edge pixel frame; enlarging the original edge pixel frame in double size along the horizontal and vertical directions, respectively; retaining the original edge pixel information; replacing pixels to be interpolated with a zero grayscale; and compensating the pixels to be interpolated which are temporarily replaced by the zero grayscale along edge directions of the original edge pixel, such that the jagged phenomenon of output picture is output picture is significantly decreased, such that the jagged phenomena of an output picture is significantly decreased, with a detailed image information is well-maintained. The method is simple, with fewer calculations and faster operating speed, the cost can be effectively reduced.

Abstract: A system for frame rate conversion of a video that includes detecting low quality of a received frame and determining an interpolated frame of the video based upon the detected low quality of the received frame.

Abstract: Image processing is performed in view of the difference between the chroma component and the brightness component in an image, with a relatively smaller amount of data processed during the image processing. A frequency decomposing unit 110 performs frequency decomposition directly on Bayer image signals from an imaging element 3. With this, a high frequency component representing color information and a low frequency component representing brightness information are obtained. A filter coefficient obtaining unit 131 of a correction processing unit 130 obtains filter coefficients and the filter coefficients for the high frequency component are different from those for the low frequency component. A filtering processing unit performs a filtering process on subimages based on the filter coefficients obtained by the filter coefficient obtaining unit 131 in such a manner that processing details of the filtering process for the high frequency component are different from those for the low frequency component.

Abstract: An image sensor may have an array of image sensor pixels arranged in color filter unit cells each having one red image pixel that generates red image signals, one blue image pixel that generate blue image signals, and two clear image sensor pixels that generate white image signals. The image sensor may be coupled to processing circuitry that performs filtering operations on the red, blue, and white image signals to increase noise correlations in the image signals that reduce noise amplification when applying a color correction matrix to the image signals. The processing circuitry may extract a green image signal from the white image signal. The processing circuitry may compute a scaling value that includes a linear combination of the red, blue, white and green image signals. The scaling value may be applied to the red, blue, and green image signals to produce corrected image signals having improved image quality.

Abstract: An Encoder Assisted Frame Rate Up Conversion (EA-FRUC) system that utilizes video coding and pre-processing operations at the video encoder to exploit the FRUC processing that will occur in the decoder in order to improve compression efficiency and reconstructed video quality is disclosed. One operation of the EA-FRUC system involves determining whether to encode a frame in a sequence of frames of a video content by determining a spatial activity in a frame of the sequence of frames; determining a temporal activity in the frame; determining a spatio-temporal activity in the frame based on the determined spatial activity and the determined temporal activity; determining a level of a redundancy in the source frame based on at least one of the determined spatial activity, the determined temporal activity, and the determined spatio-temporal activity; and, encoding the non-redundant information in the frame if the determined redundancy is within predetermined thresholds.

Abstract: An imaging apparatus (10) includes: an image pickup device (14) including plural photoelectric conversion elements arrayed in a predetermined first direction and second direction; a color filter that has a repeatedly disposed basic array pattern that includes a first filter corresponding to a first color that contributes most to obtaining a brightness signal, and second filters corresponding second colors, placed in a predetermined pattern; a drive section (22) that drives the image pickup device (14) such that, for an array of pixels to read from the image pickup device (14), pixel data of pixels placed at a set cycle in at least one direction of the first direction or the second direction is read to give a second array that is different from a first array expressing an array of all the pixels read from the image pickup device (14); and an image processing section (20) that corrects pixel data of a subject pixel for color mixing correction based on pixel data of a pixel that is the same color as an adjacent

Abstract: An apparatus for generating a new viewpoint image includes: a new viewpoint image generation unit that shifts the foreground image region in the input image, based on a depth map to generate a new viewpoint image including a missing pixel region; a representative background pixel selection unit that selects background pixels located a predetermined number of pixels away from edge pixels, as representative background pixels; a texture direction map calculation unit that calculates a texture direction of each of the selected representative background pixels, to calculate a texture direction map indicating texture directions, each corresponding to one of missing pixels, based on locations of the representative background pixels and locations of the missing pixels included in the missing pixel region; and a hole-filling processing unit that fills the missing pixel region with the obtained background pixels in accordance with the texture direction map.

Abstract: A image signal processing method of a liquid crystal display according to an exemplary embodiment of the present invention includes: receiving a previous image signal and a current image signal as two sequential input image signals; performing a first correction (DCC) and a doubling for the current image signal to generate a correction image signal comprising a plurality of doubled frames for the current image signal; and post-processing the portion of the plurality of doubled frames to generate a final correction image signal.

Abstract: An object detection device includes a raster scan execution unit that executes a raster scan on an input image using a scan window in order to detect an object within the input image which is input by an image input unit, a scan point acquisition unit that acquires scan points of the scan window which are positions on the input image during the execution of the raster scan, and a size-changing unit that changes a relative size of the input image with respect to the scan window. When the relative size is changed by the size-changing unit, an offset is given to the starting positions of the scan points after the change with respect to the starting positions of the scan points before the change.

Abstract: An image processing circuit includes a determination unit configured to classify the input image data into a first image area being a gradation area, a second image area being a non-gradation area, or a third image area being an intermediate area between the gradation area and the non-gradation area; a first pixel interpolation unit configured to generate a first output pixel value interpolated by applying a theoretically calculated coefficient to a pixel value of the input image data; a second pixel interpolation unit configured to generate a second output pixel value interpolated by applying a coefficient obtained by learning to the pixel value of the input image data; and a mixing unit configured to output the first output pixel value, the second output pixel value, or a third output pixel value, obtained by processing the first and second output pixel values, according to a classification result of the determination unit.

Abstract: An image processing apparatus includes a processor and a memory storing computer-readable instructions therein. The computer-readable instructions, when executed by the processor, cause the image processing apparatus to: acquire scan data from a scan data generating unit, the scan data generating unit being configured to generate the scan data by optically reading a sheet being conveyed, the scan data representing a scanned image that includes an image indicative of the sheet, the sheet having a plurality of sides; detect a plurality of edge lines from the scanned image by analyzing the scan data, the plurality of edge lines representing the plurality of sides, respectively; determine whether the plurality of edge lines include a non-linear edge line; and correct, when the plurality of edge lines is determined to include a non-linear edge line, the scan data so that the non-linear edge line is changed to a linear edge line.

Abstract: Provided are an image generation apparatus, three-dimensional image display apparatus, image generation method and non-transitory computer readable medium.

Abstract: To determine if a pixel exhibits artifacts, statistics are generated for the pixel and its neighbors. These statistics are compared with thresholds. If the comparison of the statistics and the thresholds suggests that the pixel exhibits a pixel artifact, then recourse can be taken, either to adjust the pixel value in some way, or to reject the angle of interpolation used in computing the value for the target pixel.

Abstract: An apparatus comprising one or more processors configured to process a first image at a first resolution to generate a first solved image at the first resolution, determine a difference between the first solved image and a function of the first image, and generate a second solved image at a second resolution higher than the first resolution based at least in part on the difference between the first solved image and the function of the first image.

Abstract: A digital camera system for super resolution image processing constructed to receive a plurality of input frames and output at least one digitally zoomed frame is provided. The digital camera system includes a motion registration module configured to generate motion information associated with the plurality of input frames, an interpolation module configured to generate a plurality of interpolated input frames based at least in part on the plurality of input frames and the motion information, a weights calculation module configured to calculate one or more weights associated with the plurality of input frames based on at least the motion information, and a weighted merging module configured to merge the plurality interpolated input frames consistent with the one or more weights to generate the at least one digitally zoomed frame.

Abstract: A method codes a sequence of digital images, each image having the same image format and including a number of pixels with assigned pixel values. Motion parameters between first and second images are determined, where based on said motion parameters a motion compensation is performed for coding the sequence of images, where said motion parameters are included in the coded sequence of images. The motion parameters between a first image and a second image include a scalar field having scalar values for a plurality of image positions in the image format. The scalar field is determined such that gradient vectors derived from the scalar field correspond to motion vectors for the motion compensation.

Abstract: The present disclosure discloses an image super-resolution reconstruction method, comprising the steps of: performing an edge detection on low-resolution images to be processed to obtain edge pixel frames, amplifying the edge pixel frames so that each amplified image is the double of the original edge pixel frame in size in both horizontal direction and vertical direction, without changing the detected edge pixel information, and compensating for the interpolated interpolation pixels according to different pixel edges to obtain a high-resolution image. The method can ensure the definition and integrity of the edges, and enhance the contrast without degrading image quality. At last, the previous interpolation pixels are compensated according to optimized rules, during which influences of edge pixels and surrounding pixels are comprehensively considered, so as to eliminate the sawtooth phenomenon of the output image.

Abstract: A method and apparatus for reconstructing a low-resolution image is provided. The method includes magnifying a low-resolution image; extracting a high frequency component and a texture component from the pre-magnification low-resolution image; and reconstructing an image by synthesizing the extracted high frequency component and texture component with the magnified low-resolution image. The method and apparatus synthesizes only image components without a separate external DB, making it possible to enhance sharpness of the outline of images and thus effectively reconstruct fine texture components.

Abstract: An image sensor may have an array of image sensor pixels arranged in color filter unit cells each having one red image pixel that generates red image signals, one blue image pixel that generate blue image signals, and two clear image sensor pixels that generate white image signals. The image sensor may be coupled to processing circuitry that performs filtering operations on the red, blue, and white image signals to increase noise correlations in the image signals that reduce noise amplification when applying a color correction matrix to the image signals. The processing circuitry may extract a green image signal from the white image signal. The processing circuitry may compute a scaling value that includes a linear combination of the red, blue, white and green image signals. The scaling value may be applied to the red, blue, and green image signals to produce corrected image signals having improved image quality.

Abstract: Systems and methods for rendering a view-dependent texture in conjunction with a polygon mesh to provide a textured three-dimensional model of a geographic area are provided. The view-dependent texture can be optimized for viewing the three-dimensional model from a single reference direction. When a user navigates to a camera viewpoint of the three-dimensional model associated with the single reference direction, the view-dependent texture can be rendered in conjunction with the three-dimensional model to provide a more realistic representation of the geographic area to the user. When a user navigates to a camera viewpoint of the three-dimensional model that is not associated with the single reference direction, a base texture can be rendered in conjunction with the three-dimensional model. The base texture can be optimized based on viewing the three-dimensional model from a plurality of differing viewpoints.

Abstract: An image processing apparatus includes a calculation section configured to calculate filtering coefficients of a filter with a first area in an image that is partitioned into multiple first areas including the first area, the image being partitioned differently into multiple second areas, each one of which being covered by several first areas, to calculate a convoluted image of a second area using the filtering coefficients calculated with the first areas covering a part of the second area, the calculation being executed for the several first areas covering distinct parts of the second area, respectively; and an interpolation section configured to interpolate a pixel in the second area using pixels at the same position in the convoluted images of the second area which are convoluted with the respective filtering coefficients.

Abstract: A 2D video to 3D video conversion system includes a video content analysis unit, a depth estimation unit, a post-processing unit, and a stereoscopic video generation unit. The video content analysis unit can analyze a 2D video datum and extract useful information including motion and color from the 2D video datum for depth estimation. The depth estimation unit is adapted for receiving the useful information, calculating motion cue and contrast cue for initial depth estimation, and generating an initial depth map. The post-processing unit is adapted for correcting the initial depth map in spatial domain and temporal domain to increase accuracy in spatial domain and depth continuity between adjacent time instances and for processing the caption in the video to generate a final depth map. The stereoscopic video generation unit is adapted for synthesizing 3D video datum from the final depth map and 2D video datum.

Abstract: An exemplary image processing apparatus generates an interpolation frame to be inserted between a first frame and a second frame, contiguous with each other, of a moving picture obtained by an image capturing apparatus. The image processing apparatus includes: a motion vector calculation section configured to calculate a motion vector of an object by performing a block matching operation between the first and second frames; and an interpolation frame generation section configured to generate the interpolation frame through a process performed based on a magnitude of motion of the image capturing apparatus from a point in time when the first frame is obtained to a point in time when the second frame is obtained.

Abstract: A consecutive thin edge detection system and method for enhancing color filter array image is disclosed in the present invention. The consecutive thin edge detection system includes a consecutive thin edge detector, a color gradient estimator and a direction indicator. The consecutive thin edge detector receives a color pixel array including a plurality of color pixels and alternately sets each color pixel as a target pixel. The consecutive thin edge detector detects a difference value between a plurality of first green pixels and a plurality of second green pixels nearby a target pixel, and determines whether the target pixel comprises a consecutive thin edge feature or not according to the difference value. The plurality of first green pixels are in red pixel rows which comprises a plurality red pixels and the plurality of first green pixels, and the plurality of second green pixels are in a blue pixel row which comprises blue pixels and the plurality of second green pixels.

Abstract: An approach to resampling incorporates geometric transformation into the resampling process. A specification of a geometric transformation is accepted for application to the first image to produce a second image. A two-dimensional filter for application to the first image is then determined using the specification of the geometric transformation. Data characterizing relationships between pixel locations in the second image and pixel locations in the first image is computed. Pixel values of a second image are then computed by applying the two-dimensional filter to the first image, including for each of a plurality of pixels locations of the second image, computing a value for the second image at said pixel location by applying the second filter according to the data characterizing the relationships between pixel locations.

Abstract: A method of interpolating a pixel value is disclosed and may include locating a missing pixel. Further, the method may include determining a plurality of closest pixels, determining a value for each of the plurality of closest pixels, and determining a distance between the missing pixel and each of the plurality of closest pixels. The method may also include classifying each of the plurality of closest pixels as either an edge-pixel or a non-edge pixel and determining a value of the missing pixel at least partially based on the value of each of the plurality of closest pixels, the distance between the missing pixel and each of the plurality of closest pixels, and a classification of each of the plurality of closest pixels.

Abstract: The present invention relates to an image processing device and method which enable encoding efficiency in intra prediction to be improved. In the event that the optimal intra prediction mode is mode 0, adjacent pixels to be used for prediction of the current block are pixels A0, A1, A2, and A3. According to these pixels and a 6-tap FIR filter, pixels a?0.5, a+0.5, and so on with ½ pixel precision are generated, and further, pixels a?0.75, a?0.25, a+0.25, and a+0.75 with ¼ pixel precision are generated by linear interpolation. Subsequently, the optimal shift amount is determined with a value of ?0.75 through +0.75 that is phase difference between an integer pixel and generated fractional pixel precision serving as a candidate of the shift amount in the horizontal direction. The present invention may be applied to an image encoding device which performs encoding using the H.264/AVC system, for example.

Abstract: An organic light emitting diode display having improved display quality is disclosed. The organic light emitting diode display includes pixels positioned at intersections of scan lines and data lines, an emission control unit for controlling emission times of the pixels according to a second emission width signal indicating emission time information of the pixels, and an emission time controller for dividing the pixels into a plurality of blocks and for generating the second emission width signal according to a brightness history of the blocks.

Abstract: An organic light emitting display and a method of driving the display are disclosed. The organic light emitting display limits the rate of brightness change so as to reduce undesired visual artifacts.

Abstract: A method is disclosed. The method includes receiving an image, upsampling the image, eroding the upsampled image to compensate for dot gain and scaling the eroded image to scale the image to a desired size.

Abstract: A method for generating a high dynamic range image. An image is captured using a Bayer pattern color filter array to generate raw pixel sensor data for the image. The pixel sensor data is separated into highpass (ZiHP) and lowpass (ZiLP) components. The color components of ZiHP are pooled to yield an achromatic highpass data set {circumflex over (X)}iHP. Saturated pixels in the ZiLP components are corrected by borrowing across spectrums to yield the low pass data set {circumflex over (X)}iLP, and the high dynamic range image is computed as {circumflex over (X)}={circumflex over (X)}iLP+{circumflex over (X)}iHP 1. A camera system incorporating this method is also provided.

Abstract: Systems, methods, and other embodiments associated with image scaling are described. According to one embodiment, a method includes acquiring a set of amplitude values describing pixels in an image. A target pixel is identified from the set of pixels and a preceding pixel is identified to the target pixel. An amplitude range of amplitudes is defined between the amplitude of the preceding pixel and the target pixel. The method determines whether the interpolation between the preceding pixel and target pixel will result in an interpolated pixel having an interpolated amplitude outside of the amplitude range. An interpolation slope is determined that reduces overshoot or undershoot in interpolation pixels generated between the target pixel and the preceding pixel.

Abstract: An image processing apparatus includes: a target position selecting unit to select a pixel position on an input image, as a target position; a candidate line setting unit to set two or more sets of candidate lines including a pixel with a value, in the vicinity of the target position; a weighted-value calculating unit to calculate a weighted value that corresponds to a degree of expectation that the target position and the pixel position on the candidate line are on the same pattern; a direction classifying unit to selectively determine a set of candidate lines that are close to a direction of a pattern of the target position in accordance with the weighted value of each pixel on the candidate lines; and a first interpolated-value calculating unit to calculate a pixel value of the target position in accordance with the weighted value of each pixel on the candidate lines.

Abstract: A direction of regularity, which minimizes a directional energy computed from pixel values of consecutive first and second frames of an input video sequence, is respectively associated with each pixel of the first frame and with each pixel of the second frame. Another direction of regularity (vz), which minimizes a directional energy computed from pixel values of the first and second frames, is also associated with an output pixel (z) of a frame of an output video sequence, located in time between the first and second frames. For processing such output pixel, the respective minimized directional energies for the output pixel, at least one pixel (z?) of the first frame and at least one pixel (z?) of the second frame are compared to control an interpolation performed to determine a value of the output pixel. The interpolation uses pixel values from at least one of the first and second frames of the input video sequence depending on the comparison of the minimized directional energies.

Abstract: Embodiments of the present disclosure provide a method that comprises receiving a motion-interpolated pixel of an interpolated video frame, wherein the motion-interpolated pixel is based at least in part on a pair of anchor video frames. The method further comprises blending the motion-interpolated pixel with one or more anchor pixels of the pair of anchor video frames to produce a temporally filtered pixel, wherein the one or more anchor pixels correspond in position to the motion-interpolated pixel of the interpolated video frame. The method also comprises substituting the temporally filtered pixel for the motion-interpolated pixel in the interpolated video frame.

Abstract: One or more derived versions of image content may be obtained by interpolating two or more source versions of the same image content. A derived version may be targeted for a class of displays that differs from classes of displays targeted by the source versions. Source images in a source version may have been color graded in a creative process by a content creator/colorist. Interpolation of the source versions may be performed with interpolation parameters having two or more different values in two or more different clusters in at least one of the source images. A normalized version may be used to allow efficient distribution of multiple versions of the same content to a variety of downstream media processing devices, and to preserve or restore image details otherwise lost in one or more of the source versions.

Abstract: A method of decoding an image includes the steps of restoring a residual value by performing inverse quantization and inverse transform on the residual value by entropy decoding a received bit stream, generating a prediction unit by performing intra prediction selectively using one of a plurality of prediction modes on a prediction unit split by conducting at least one of asymmetric partitioning and geometrical partitioning, and restoring an image by adding the residual value to the prediction unit. It may be possible to enhance encoding efficiency of high-resolution images having a resolution of HD or higher by performing intra prediction on the asymmetric partitioning and/or geometrical partitioning.

Abstract: An apparatus and a method for correcting colors of an image projection device are provided. The method includes: acquiring a photographed image by photographing a sample image projected on projection surface; generating input-output color information for n regions, based on color values of a block in the sample image and corresponding color values of the block in the photographed image; selecting one of the n regions of photographed images as a reference region; generating look-up tables (LUTs) for non-reference regions, based on the reference region and the input and output color information; and correcting colors of input images to be projected by the image projection device using the look-up tables, thereby minimizing color difference of the input images on the projection surface for both intra and inter projection device color correction while simplifying the correction procedure.

Abstract: A method to detect and remove noise in image reconstruction. The method includes integration of filters and phase unwrapping algorithms for removing speckle noise, residual noise and noise at the lateral surface of height discontinuities. The method is used for generating a noise-free unwrapped phase map and hence, a successful image reconstruction of an object image.

Abstract: An interpolation computation unit (3B) treats, as positions of interest, positions where pixels within a high-resolution image (D30) occupy when the high-resolution image (D30) is superimposed on a low-resolution image (D01), and for each position of interest, obtains a pixel value for a pixel assumed to exist at the position of interest by performing an interpolation computation using pixel values of a plurality of pixels within the low-resolution image (D01). An interpolation coefficient calculation unit (3A) obtains interpolation coefficients (D3A) having values that increase with increasing strength of correlation of the pixels in the plurality of pixels in the low-resolution image with the pixel of interest, and outputs the interpolation coefficients to the interpolation computation unit (3B). Angles of edges and shapes of edges are not classified into any predetermined patterns; therefore, it is possible to perform suitable interpolation computations regardless of edge shape.

Abstract: A method of generating a digital image is described. The method comprises detecting light from a scene to form an image; identifying an aberration in the image; and implementing a color filter array interpolator based upon the detected aberration in the image. A device for generating a digital image is also described.

Abstract: A method for performing super-resolution comprises steps of generating the high-resolution, low-frequency spatial and temporal bands of the input video sequence by interpolation, synthesizing the high-resolution, high-frequency spatial band by cross-frame spatial high-frequency extrapolation, and fusing these two bands to generate the spatio-temporally super-resolved video sequence A corresponding system for performing super-resolution comprises a stage where the high-resolution, low-frequency spatial and temporal bands of the input video sequence is generated by interpolation, a stage where the high-resolution, high-frequency spatial band is synthesized by cross-frame spatial high-frequency extrapolation, and a stage where these two bands are fused to generate the spatio-temporally super-resolved video sequence.

Abstract: Embodiments of the present invention are directed towards increasing texture filtering performance for texel components represented by more than 8 bits. As the number of bits per component increases, the number of texels that are processed each clock cycle decreases since more bits need to be processed to produce each filtered result. A filtered result may be accumulated over two or more iterations, with each iteration producing a portion of the filtered result. When only a portion of the components for each texel are used, the unused texel components are not processed. Elimination of unnecessary texel processing for unused texel components may improve texture filtering performance.

Abstract: An image expansion apparatus includes a second order differential circuit, a multi-valued processing unit, a first determination unit, a selection unit, and an interpolation processing unit. The first determination unit compares respectively a plurality of fixed patterns, which is each assigned with an interpolation direction in accordance with an outline shape of an image, with spatial dispersion of an output of the multi-valued processing unit. The first determination unit determines a fixed pattern corresponding to the output. The first determination unit determines an interpolation direction assigned to the fixed pattern as a candidate of an interpolation direction for the outline shape. The selection unit selects an interpolation direction of a plurality of candidates of the interpolation direction for the outline shape. The interpolation processing unit generates an interpolation pixel to determine the pixel for the interpolation based on the interpolation direction selected by the selection unit.

Abstract: An image processing method includes: receiving image data from a frame buffer, wherein each pixel of the image data has only one color information; estimating four second color information corresponding to up, down, left, and right sides of the target pixel respectively according to a first color information of the target pixel per se and color information of the neighboring pixels for a target pixel of the image data; calculating four color difference gradients corresponding to up, down, left, and right sides of the target pixel respectively according to the four second color information of the target pixel; determining an edge texture characteristic of the target pixel according to the four color difference gradients of the target pixel; and determining whether to modify the bit value of the first color information of the target pixel stored in a frame buffer according to an edge texture characteristic of the target pixel.

Abstract: An image processing apparatus samples an image signal to thin out pixel values used as adjacent pixels in intra-frame prediction according a size in a horizontal direction of an image to be coded or a size in a vertical direction of regions in a matrix into which the image is divided then performs interpolation using the sampled pixel values to reconstruct the adjacent pixels. A predicted image generation unit within the image processing apparatus performs intra-frame prediction using the reconstructed adjacent pixels and codes the resulting image thus reducing the amount of memory required for intra-frame prediction.